Agentic Ai From Scratch With Crew Ai & Autogen

Master the Fundamentals of Agentic AI, Build Real-World Projects, and Explore Ethical Implications for Future AI Systems

What you'll learn

Learn how AI agents differ from traditional automation and why agency is crucial in modern AI systems.

Understand their applications across industries and real-world case studies.

Develop AI agents for decision-making and hiring automation using Crew AI.

Master Autogen Studio for code optimization, content generation, and creative problem-solving.

Requirements

No prior knowledge required, everything is shown step by step.

Description

Are you ready to dive into the world of Agentic AI and learn how to build intelligent systems that can think, act, and solve problems autonomously? This comprehensive course is designed for beginners and intermediate learners who want to understand the core principles of Agentic AI, explore real-world applications, and gain hands-on experience with cutting-edge tools like Crew AI and AutoGen Studio.In this course, you’ll:Understand the fundamentals of Agentic AI, including key concepts like agency, automation, and the different types of AI agents (reactive, goal-based, utility-based, and learning agents).Explore real-world examples of Agentic AI in action, from financial decision-making systems to AI-powered hiring tools.Build practical projects using Crew AI and AutoGen Studio, including a financial decision-making system, a hiring system, a code optimization tool, and a personalized content generator.Dive into ethical considerations like bias, fairness, and transparency in AI systems, and explore the future of human-agent collaboration.Whether you’re a developer, data scientist, AI enthusiast, or business professional, this course will equip you with the skills and knowledge to design and implement intelligent AI systems that can solve complex problems and drive innovation.By the end of this course, you’ll:Have a solid understanding of Agentic AI principles and mechanisms.Gain hands-on experience with Crew AI and AutoGen Studio through guided projects.Be able to design and deploy AI systems that can act autonomously and solve real-world challenges.Understand the ethical implications of Agentic AI and how to build fair, transparent, and unbiased systems.Why enroll in this course?Practical, project-based learning: Build real-world AI systems from scratch.Expert insights: Learn from industry experts through exclusive video lectures.Future-focused: Explore the ethical and societal implications of Agentic AI.Beginner-friendly: No prior experience in AI? No problem! This course starts with the basics and gradually builds your skills.Join me on this exciting journey into the world of Agentic AI and take the first step toward mastering the future of intelligent systems. Enroll now and start building AI systems that can think and act for themselves!What You’ll LearnBy the end of this course, you will be able to:Understand the key concepts and fundamentals of Agentic AI.Differentiate between agency and automation in AI systems.Build real-world projects using Crew AI and AutoGen Studio.Design intelligent systems that can solve complex problems autonomously.Address ethical considerations like bias, fairness, and transparency in AI.Explore the future of human-agent collaboration and its implications.Course RequirementsA basic understanding of Python programming (recommended but not mandatory).A computer with internet access to install and run Crew AI and AutoGen Studio.No prior experience in AI is required—this course starts from the basics!Who This Course Is ForThis course is perfect for:Developers and data scientists looking to expand their AI skills.AI enthusiasts curious about Agentic AI and its applications.Business professionals who want to understand how AI can solve real-world problems.Students and beginners interested in learning about AI in a practical, hands-on way.

Overview

Section 1: Introduction to Agentic AI and Course Overview

Lecture 1 What's in this course?

Section 2: Foundations of Agentic AI

Lecture 2 Key Concepts and Fundamentals

Lecture 3 Real-World Examples of Agentic AI in Action

Lecture 4 Types of AI Agents: Reactive, Goal-Based, Utility-Based, and Learning Agents

Lecture 5 The Role of Agency in AI Systems

Lecture 6 Agency vs. Automation: Key Differences

Lecture 7 How Agentic AI Works: Core Principles and Mechanisms

Section 3: Building AI Systems with Crew AI

Lecture 8 Expert Insights: Video Lecture on Crew AI

Lecture 9 Setting Up Crew AI: Installation and Configuration

Lecture 10 Hands-On Project 1: Financial Decision-Making System with Crew AI

Lecture 11 Hands-On Project 2: AI-Powered Hiring System with Crew AI

Section 4: Creative Problem-Solving with AutoGen

Lecture 12 Getting Started with Autogen Studio

Lecture 13 Setting Up AutoGen Studio: Installation and Configuration

Lecture 14 Hands-On Project 1: Code Optimization with AutoGen Studio

Lecture 15 Hands-On Project 2: Personalized Content Generator with AutoGen Studio

Section 5: Ethical and Future Considerations in Agentic AI

Lecture 16 Bias, Fairness, and Transparency in AI Systems

Lecture 17 The Future of Human-Agent Collaboration

Anyone who is eager to learn